Contents

• List of Figures
• 1. Asserting
  • 1.1 Introduction
    • 1.1.1 Six Principles
  • 1.2 Starting with an example
  • 1.3 Least Squares Method
    • 1.3.1 Exact resolution of an affine equation
    • 1.3.2 Overdetermined systems
    • 1.3.3 Measuring the quality of a model
  • 1.4 Effects of a factor
  • 1.5 Summary
  
  
• 2. Screening
  • 2.1 Cartesian map of a DOE
  • 2.2 Eigenvalues and eigencolumns
  • 2.3 How to design a DOE ?
    • 2.3.1 An optimally wrong choice
    • 2.3.2 Several algorithms
    • 2.3.3 Full design
    • 2.3.4 Fractional design
  • 2.4 Fractional design
  
  
• 3. Improving
  • 3.1 Importance of assumptions
  • 3.2 Computing uncertainties
    • 3.2.1 Statement about uncertainties
    • 3.2.2 Uncertainties
  • 3.3 Response surfaces
  
  
• A. Some computing tools
  • A.1 The main program
  • A.2 Reading data files
  • A.3 Encoding / decoding
  • A.4 Using collected data
  • A.5 Discrete design
  • A.6 Interactions and continuous design
  • A.7 Choice of a design
    • A.7.1 Random search
    • A.7.2 Directed search
  
  
• Bibliography